ABSTRACT Arabic sign language (ArSL) is method of communication between deaf communities in Arab countries; therefore, the development of systemsthat can recognize the gestures provides a means for the Deaf to easily integrate into society. In this research we implemented a computational structurefor an intelligent interpreter that automatically recognizes the isolated dynamic gestures. The proposed system recognizes and translates gesturesperformed with one or both hands. It comprises five subsystems, building dataset, video processing, feature extraction, mapping between ArSL and Arabictext, and text generation. To apply the system, 100-signs of ArSL was used, which was applied on 1500 video files. It's were divided into five classes:alphabet, numbers, "prepositions, pronouns and question words", Arabic life expressions, and "nouns and verbs". The evaluation indicated that thesystem automatically recognizes and translates isolated dynamic ArSL gestures by highly accurate manner. The results showed that the system accuracy is 95.8%.

中文翻译：

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阿拉伯手语智能翻译器

摘要 阿拉伯手语 (ArSL) 是阿拉伯国家聋人社区之间的交流方式；因此，可以识别手势的系统的开发为聋人提供了一种轻松融入社会的手段。在这项研究中，我们为智能解释器实现了一个计算结构，它可以自动识别孤立的动态手势。提议的系统识别和翻译用一只手或两只手执行的手势。它包括五个子系统，构建数据集、视频处理、特征提取、ArSL 和阿拉伯文本之间的映射以及文本生成。为了应用该系统，使用了 1500 个视频文件的 100 符号 ArSL。它分为字母、数字、“介词、代词和疑问词”、阿拉伯语生活表达和“